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This paper reveals the origin of nonlinear dynamics and presents a solution for nonlinear systematic problems based on other science. Generally, physical phenomena are divided into linear static logical problems and nonlinear dynamic systematic problems, but all scientists have solved both problems using the same algebraic logical solution in statistical physics based on determinism such as chaos theory. Surprisingly, this is a contradiction and a serious mistake because there is a perfect solution such as the system analysis theory exist
ing
in other science. Unfortunately, it has developed in the 20^{th} century by engineers. Thus, classical physicists could not solve it. Meanwhile, the author achieved the systematic solution for many unsolved nonlinear systematical, further, proved the research result through simulation using specially designed simulation device. Thus, this is a revolutionary achievement because it
can easily solve the unsolved nonlinear dynamics that exists in all fields of science
.
Ironically most determinists do not welcome and reject it. However, it has no matter, it will be separated from current physics and other scientists studied it in the second physics. Therefore, it would be contributed to solve the unsolved nonlinear dynamics in complex science
.

This paper addresses nonlinear dynamic systematical problems involving complexity [

While conducting another research in 2015, the author surprisingly discovered a serious hidden problem in classical physics that arose three hundred years ago. However, physicists cannot explain the reason behind it, and they avoid the question. Thus, it is essential to consider the reason here. Generally, the paradigms of science can be divided into determinism and non-determinism. Likewise, physical phenomena are divided into two groups; linear static logical problems and nonlinear dynamic systematic problems, as shown in

Surprisingly, it is a grave mistake as a contradiction in science. Furthermore, it is shocking issue because there is already existed a perfect solution in existing technological science, such as the systems analysis theory in control theory [^{th} century could not clarify the contradiction as mentioned above. Ironically, it is contrary to determinism. Thus, determinists still reject the above solution because they have no regard with other sciences

Nevertheless, in 2015, the author has completed the solution based on the control theory and published it [

Astonishingly, in 2019, the author obtained another research result; 1) determinists have no relation to the above solution because it is completed based in indeterminism, not cur-rent physics. 2) The solution needs not approval and verification from determinists. Because, the result was solved and proven through simulation with a specially designed simulator (see

Nevertheless, most physicists misunderstand that the result is not advantage to them similar to the Copernican theory, hence, they do not welcome it. Ironically, Moreover, most physicists misunderstand the new solution is a part of deterministic physics, moreover, they attempt to solve with deterministic physics. Therefore, the new solution is established as the second physics to distinguish it from the existing first physics. If so, they need to clarify the following issues about control theory;

• What is systems analysis theory in control theory?

• Why are classical physicists unable to solve these problems?

• What is the origin of nonlinear dynamics in complexity?

For those who doubt the validity of this solution, there are two cases of practical application. Although they are different from what the scientific community may have known in the past, they are certain. The author hopes to clarify the understanding in this regard.

First, we need to look back to classical physics based on determinism. Why can they not find the above perfect solution, such as the systems analysis theory? Unfortunately, they misunderstood that systematic nonlinear problems are treated as algebraic logical problems, they did not know other solution. Ironically, the systems analysis theory in control theory [^{th} century for designing automatic systems by engineers such as Nyquist; however, classical physicists cannot know the principle. Paradoxically, if the above control theory was appeared earlier, classical physicists, including Newton, could have cleared the above contradiction. Thus, they have no choice because there is no other solution. Nevertheless, all determinists strongly reject the control theory and prefer their old deterministic physics. However, other scientists have nothing to do with physicists. If physicists do not clarify and leave the contradiction in modern science, non-physicists have to solve the nonlinear systematic problems instead of them. Therefore, physicists have no choice. In other words, it will be separated from current physics and transfer to another science, such as the second physics, which will emerge as an independent science based on the paradigm of indeterminism. On the other hand, if physicists would accept this solution, they can utilize both old and new solutions and they can solve many unsolved nonlinear dynamics, including metaphysical problems in holistic science fields.

There is something to watch out for. Many physicists misconceive the solution as deterministic physics, it must be solved by control theory involving indeterminism. They need to study the mathematical tool in control theory based on the Laplace transform, which is as difficult as chaos theory for all scientists. Hence, it must be supported by a MATLAB program [

Normally, input source is a random function in

• (First step: Modeling) In an example of a food chain in ecology, physicists have treated the problems as a black box, as shown in

F ( s ) = Y ( s ) U ( s ) = G ( s ) 1 + G ( s ) H ( s ) = ω 2 s 2 + 2 β ω s + ω 2 (1)

where [s] is the Laplace operator, U(s) is the input source, Y(s) is the output function, ω is a constant, and β is the damping factor. The damping factor determines the peculiar characteristics of all feedback systems; it depends on the damping factor; the intrinsic characteristics vary as shown in

• (Second step: Simulation) For readers’ understanding, assume that a virtual system exists and Equation (1) is determined as follows: it is the most common case. If you want, you can use arbitrary functions.

y ( t ) = 1 − A ⋅ e − B ⋅ t sin ( W ⋅ t + φ ) (2)

where ω = 1 and β = 0.2, we put this data into a computer and begin to simulate. It can reproduce the behaviors of nonlinear dynamics phenomena on the computer screen, as shown in

F ( t ) = 1 / ( s 2 + 0.4 s + 1 ) (3)

• (Third step: Verification) Anyone can experiment with any type of systematic problem because the stimulator has several adjustable controllers. Therefore, the physical black box in the nonlinear systematic problem is solvable. Please watch the video clip [

• (Hypothesis) Most physicists have been treated the food chain in ecology as a black box. If the black box can be defined as a closed loop system, as shown in

• (Simulation), we can simulate the above condition using a simulation device, as shown in

• (Verification) If true, nonlinear dynamics do not occur by chance. Surprisingly, we found the behaviors of complexity in

The butterfly effect was first claimed in 1963 by Edward Norton Lorenz [

Unfortunately, the meteorologist Lorenz misunderstood the initial phenomenon in his own experiment, as shown in

Kuhn conceptualized the history of technical invention [

(Modeling) For instance, gunpowder was invented in 1880. At that time, it was like a revolution. Its utility increased as soon as the war broke out. Therefore, people spent a huge amount of money for restoration. Repeatedly, the demand increased as another war broke out; he defined it as a paradigm shift. Finally, it was saturated and settled into a normal state. Ironically, it can be defined as a systematic problem, and the output can be determined as a time series function in Equation (2) above.

(Simulation and verification) We can obtain an exponential curve as shown in

This reveals that the origin of nonlinear systematic problems involving complexity is originated from closed-loop systems with feedback, as shown in

• These nonlinear systems cannot be solved perfectly by logical algebraic solution in statistical physics. Instead, it must be solved by the systems analysis theory.

• If physicists reject the solution continuously, it must be separated from modern science and studied through second physics.

The main objective of this paper is to reveal the origin of nonlinear dynamics, further, this study provides to physicists and non-physicists a perfect solution as control theory including a novel simulation device based on technological theory as the second physics. In addition, the author informs to regret to physicists that there is a contradiction in current physics. Nevertheless, non-physicists will clear the contradiction unless physicists do not clarify the problems because other scientists have no reason to follow their deterministic physics. Surprisingly, these problems can be easily solved by the commercial program MATLAB and analog simulation device.

Thus, no physicists need not hard work for many unsolved nonlinear systematic problems in science, such as food chain or stock price involving complexity. Perhaps, in the future, it will establish the second physics based on indeterminism. It is a reasonable idea without risk because we can throw out the solution if it is not perfect; all scientists can study the discipline alone without physicist’s interference. In addition, other scientists have no reason to reject the discipline because in the future, the solution would be solved the nonlinear systematic problems involving complexity, such as daily weather, daily stock price, ice age, quantum mechanics, turbulence, nuclear reactor dynamics without physicist’s support, further, they need not hard work for the nonlinear systematic problem in their discipline in the future.

Therefore, physicists should be adopted this solution in the future. In particular, the author believes that this solution is a very valuable result for scientific institutes and organizations. An example, in the Santa Fe Institute [

This study presents the origin of nonlinear dynamic systems which are generated from closed-loop feedback systems; it is an inherent property. It should be solved by systematic solution, otherwise, it is out of basic principle as a contradiction. Especially, non-physicists are encouraged to review this research result; it will be easy to solve their unsolved nonlinear dynamic systematic problems, including metaphysical problems in science without chaos theory. However, the new perfect solution is different from existing algebraic logical solutions in the present first physics. It will be classified in the second physics in the future.

On the other hand, this study provides two examples of applications. Thus, it can be an innovative breakthrough in science, which is solved based on nonlinear dynamics. Notably, the solution is more elegant, precise, and easier compared with the old chaos theory. Nonlinear dynamic systems must be solved using the above systems analysis theory. Finally, this new solution contributes to the advancement and development of modern science.

Eho Technology Co. research center supported research.

The authors declare no conflicts of interest regarding the publication of this paper.

Cha, D.-S. and Jun, H.J. (2020) The Origin of Nonlinear Dynamics Involving Complexity in Modern Sciences. Open Journal of Applied Sciences, 10, 654-662. https://doi.org/10.4236/ojapps.2020.1010045

The author releases the creation such as simulation device to other scientists [

If the integrator is defined as G ( s ) = 1 L C s 2 and the differentiator is H ( s ) = 1 + R C s . Substituting this function into basic equation G ( s ) 1 − G ( s ) H ( s ) ,

we can obtain Equation (3). Finally, it is equivalent to Equation (1). Then, we succeeded in making simulator through Equation..

F ( s ) = G ( s ) 1 + G ( s ) H ( s ) = 1 L C s 2 1 + 1 L C s 2 ( 1 + R C s ) = 1 L C s 2 + R L s + 1 L C (4)

If someone adjusted the variable R, L, C in Equation (3), they can produce any type feedback systems such as